TY - GEN
T1 - Brain-inspired computing with spin torque devices
AU - Roy, Kaushik
AU - Sharad, Mrigank
AU - Fan, Deliang
AU - Yogendra, Karthik
PY - 2014
Y1 - 2014
N2 - In this paper we discuss the potential of emerging spin-torque devices for computing applications. Recent proposals for spin-based computing schemes may be differentiated as 'all-spin' vs. hybrid, programmable vs. fixed, and, Boolean vs. non-Boolean. Allspin logic-styles may offer high area-density due to small form-factor of nano-magnetic devices. However, circuit and system-level design techniques need to be explored that leaverage the specific spin-device characterisitcs to achieve energy-efficiency, performance and reliability comparable to those of CMOS. The non-volatility of nano-magnets can be exploited in the design of energy and area-efficient programmable logic. In such logic-styles, spin-devices may play the dual-role of computing as well as memory-elements that provide field-programmability. Spin-based threshold logic design is presented as an example. Emerging spintronic phenomena may lead to ultra-low-voltage, current-mode, spin-torque switches that can offer attractive computing capabilities, beyond digital switches. Such devices may be suitable for non-Boolean data-processing applications which involve analog processing. Integration of such spin-torque devices with charge-based devices like CMOS and resistive memory can lead to highly energy-efficient information processing hardware for applicatons like pattern-matching, neuromorphic-computing, image-processing and data-conversion. Finally, we discuss the possibility of using coupled spin-torque nano oscillators for low-power non-Boolean computing.
AB - In this paper we discuss the potential of emerging spin-torque devices for computing applications. Recent proposals for spin-based computing schemes may be differentiated as 'all-spin' vs. hybrid, programmable vs. fixed, and, Boolean vs. non-Boolean. Allspin logic-styles may offer high area-density due to small form-factor of nano-magnetic devices. However, circuit and system-level design techniques need to be explored that leaverage the specific spin-device characterisitcs to achieve energy-efficiency, performance and reliability comparable to those of CMOS. The non-volatility of nano-magnets can be exploited in the design of energy and area-efficient programmable logic. In such logic-styles, spin-devices may play the dual-role of computing as well as memory-elements that provide field-programmability. Spin-based threshold logic design is presented as an example. Emerging spintronic phenomena may lead to ultra-low-voltage, current-mode, spin-torque switches that can offer attractive computing capabilities, beyond digital switches. Such devices may be suitable for non-Boolean data-processing applications which involve analog processing. Integration of such spin-torque devices with charge-based devices like CMOS and resistive memory can lead to highly energy-efficient information processing hardware for applicatons like pattern-matching, neuromorphic-computing, image-processing and data-conversion. Finally, we discuss the possibility of using coupled spin-torque nano oscillators for low-power non-Boolean computing.
KW - analog
KW - coupled spin torque nano oscillators
KW - logic
KW - low power
KW - neural networks
KW - non-Boolean
KW - programmable logic array
KW - spin
KW - threshold logic
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U2 - 10.7873/DATE2014.245
DO - 10.7873/DATE2014.245
M3 - Conference contribution
AN - SCOPUS:84903828198
SN - 9783981537024
T3 - Proceedings -Design, Automation and Test in Europe, DATE
BT - Proceedings - Design, Automation and Test in Europe, DATE 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th Design, Automation and Test in Europe, DATE 2014
Y2 - 24 March 2014 through 28 March 2014
ER -